@InProceedings{kohita-noji-matsumoto:2017:EACLshort,
  author    = {Kohita, Ryosuke  and  Noji, Hiroshi  and  Matsumoto, Yuji},
  title     = {Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {1--7},
  abstract  = {Universal Dependencies (UD) is becoming a standard annotation scheme
	cross-linguistically, but it is argued that this scheme centering on content
	words is harder to parse than the conventional one centering on function words.
	 To improve the parsability of UD, we propose a back-and-forth conversion
	algorithm, in which we preprocess the training treebank to increase
	parsability, and reconvert the parser outputs to follow the UD scheme as a
	postprocess.
	 We show that this technique consistently improves LAS across languages even
	with a state-of-the-art parser, in particular on core dependency arcs such as
	nominal modifier.
	 We also provide an in-depth analysis to understand why our method increases
	parsability.},
  url       = {http://www.aclweb.org/anthology/E17-2001}
}